CV
Please download Cheng’s CV here.
Education
- M.S. in Computer Science & Engineering, University of California, San Diego, Expected June 2025
- B.S. in Human-Centered Design & Engineering (Data Science Option), University of Washington, Seattle, June 2023
- GPA: 3.82 (Dean’s List - All Quarters)
Publications
Liu, Y., Guo, C., Ghosh, S. (2025). Post-Editing vs Neural Machine Translation: A Comparative Study of English ↔ Mandarin Translations in Daily Conversations. The 2025 International Conference on Human-Computer Interaction.
Guo, C., Liu, Y., Yuan, Y., Zhang, W., Ghosh, S. (2024). Text Characteristics Vector: Rethinking Human-Centered Sentiment Analysis with Emotion-Related Text Characteristics. In: Degen, H., Ntoa, S. (eds) HCI International 2024 – Late Breaking Papers. HCII 2024. Lecture Notes in Computer Science, vol 15382. Springer, Cham. https://doi.org/10.1007/978-3-031-76827-9_12
Sourojit Ghosh, Murtaza Ali, Anna Batra, Cheng Guo, Mohit Jain, Joseph Kang, Julia Kharchenko, Varun Suravajhela, Vincent Zhou, and Cecilia Aragon. (2023). “Do we like this, or do we like like this?” : Reflections on a Human-Centered Machine Learning Approach to Sentiment Analysis. In International Conference on Human-Computer Interaction, pp. 63-82. Cham: Springer Nature Switzerland, 2023.
Y. Feng, C. Guo, B. Wen, P. Sun, Y. Yue, and D. Tao. EmojiCloud: a Tool for Emoji Cloud Visualization. The 5th International Workshop on Emoji Understanding and Applications in Social Media at the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (EMOJI@NAACL).
Research Experience
- LLM Interpretability and Causal Inference Benchmark Dataset Project
- University of California, San Diego, La Jolla, CA
- April 2024 - Present
- Human-Centered Natural Language Processing Directed Research Group
- University of Washington, Seattle, WA
- January 2022 - July 2023
- InfoSeeking Lab
- University of Washington, Seattle, WA
- April 2021 - May 2022
Skills
- Programming: Python, Java, C/C++, R, Javascript, HTML/CSS, SQL, LaTeX, MATLAB
- Software: PyTorch, TensorFlow, Microsoft Azure AI Platform, Amazon Mechanical Turk, SLURM Workload Manager
- Language: English (Fluent), Chinese (Native), German (Elementary)
Additional Experience
- Burke Museum Accessibility Design Project
- UW HCDE 318 Class Project
- September 2021 - December 2021
- LinkedIn User Interface Redesign Project
- UW HCDE 301 Class Project
- April 2022 – June 2022
- UW Student Organization Booths User Research Project
- UW HCDE 313 Class Project
- April 2022 – June 2022
- UW Sports Video UX Design Project
- UW HCDE Undergraduate Capstone Project
- January 2023 - June 2023